A Kind of Algorithms for Euclidean Distance-Based Outlier Mining and its Application to Expressway Toll Fraud Detection

Abstract

This  paper present the concept of the outlier mining, discussed using  Euclidean  distance-based outlier mining to analyse the expressway toll to anti-defrauding, for to illustrate it, gived the example of toll collection’s  man-day and  nullah, analysed the toll collection data in Microsoft SQL Server, helped the toll check man to find outlied data, via emphases check on those outlier data, can fing the evidence for anti-defrauding; can offer proofe chain  to treat with the defrauding things, this paper also analysed the strongpoint and the shortcoming of using the  algorithms  of  Euclidean distance-based outlier to analyse the defrauding in highway toll collection.